Kaiyang Wang

2.2k citations
37 papers · 1.9k · 1 hit paper · h-index 18

Impact in

Papers in

Kaiyang Wang

35 papers receiving 1.8k citations

Kaiyang Wang's Hit Papers

Vacancy‐Induced Synaptic Behavior in 2D WS2 Nanosheet–Based Memristor for Low‐Power Neuromorphic Computing 2019 · 360 citations
3600+2+4Years since publication100200300

Peers

Kaiyang Wang
Comparison fields: 5 of 72
  • Cellular and Molecular Neuroscience 620
  • Electrical and Electronic Engineering 1.6k
  • Polymers and Plastics 367
  • Materials Chemistry 599
  • Cognitive Neuroscience 70
Replace Yingtao Li with:
Yingtao Li China
Li Yang China
Xuewei Feng Singapore
Joon Young Kwak South Korea
Min‐Kyu Kim South Korea
Jiaming Zhang China
Yawar Abbas United Arab Emirates
Young‐Tae Kim South Korea
Xinhui Chen China
Jianyu Du China
Kaiyang Wang relative to Yingtao Li China Yingtao Li's profile →
Citations per field
00.5×1.5×1.8×
Yingtao Li · 1×
Citations per year

Countries citing papers authored by Kaiyang Wang

Since Specialization
Citations

This map shows the geographic impact of Kaiyang Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kaiyang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaiyang Wang more than expected).

Fields of papers citing papers by Kaiyang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kaiyang Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kaiyang Wang. The network helps show where Kaiyang Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Kaiyang Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kaiyang Wang Line = papers co-authored together Kaiyang Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Vacancy‐Induced Synaptic Behavior in 2D WS2 Nanosheet–Based Memristor for Low‐Power Neuromorphic Computing
Hit paper breakdown →
2019360
2 2018311
3 2019183
4 2019183
5 2020139
6 2020110
7 202096
8 202279
9 202047
10 202242
11 199237
12 201632
13 202329
14 202125
15 202324
16 201922
17 202222
18 201820
19 202316
20 201712

About Kaiyang Wang

Kaiyang Wang is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Cellular and Molecular Neuroscience, Mechanics of Materials and Biomedical Engineering, having authored 37 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (22 papers), Ferroelectric and Negative Capacitance Devices (9 papers), Neuroscience and Neural Engineering (9 papers), Photoreceptor and optogenetics research (7 papers), MXene and MAX Phase Materials (5 papers), Microstructure and Mechanical Properties of Steels (3 papers), Metallurgy and Material Forming (3 papers) and Advanced Sensor and Energy Harvesting Materials (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (620 citations), Electrical and Electronic Engineering (1.6k citations), Polymers and Plastics (367 citations), Materials Chemistry (599 citations) and Cognitive Neuroscience (70 citations). Kaiyang Wang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Xiaobing Yan, Jingsheng Chen, Qianlong Zhao, Jingjuan Wang, Yifei Pei, Zuoao Xiao, Cuiya Qin, Jianhui Zhao, Deliang Ren and Lei Zhang. Their work appears in journals such as Advanced Materials, Bulletin of Engineering Geology and the Environment, Nano Energy, Small and Applied Physics Letters.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact